Reinforcement Learning
Reinforcement Learning
Lynda Stone
Projects manager in Pixels
more info
Reinforcement Learning
Reinforcement Learning
Lynda Stone
Projects manager in Pixels
Deep Learning in Neuroscience
Deep Learning in Neuroscience
Lynda Stone
Projects manager in Pixels
Reinforcement Learning
Reinforcement Learning
Lynda Stone
Projects manager in Pixels
This August, come and join us at the Summer of Machine Learning! SMILES are three exciting events around Machine Learning at Skoltech: Summer School, Conference on Analysis of Images, Social networks and Texts (AIST), and The Hackathon. You can be new in the field or a decades-long specialist, an academic, or an industry practitioner, we've got you covered.
worldwide experts
Leading experts and world-recognized professionals in Machine Learning industry
hands-on training
Intensive hands-on tutorials, workshops and practice sessions related to deep learning, reinformcement learning, statistics and more.
Networking opportunities with relevant companies in the field, resulting in internships, employment and research options at the end of the course.
modern campus
Intensive 2 weeks experience with a full immersion into Skoltech's innovative and research-oriented community, as well as Russia's rich culture.
Our plans for this August, 2020:
16–21 August, 2020
SMILES :) School
Machine Learning School is a course about modern methods of statistical machine learning and inference. Globally renowned experts from both academia and industry present topics which are at the core of modern machine learning, from fundamentals to state-of-the-art practice.
26–28 August, 2020
Conference on Analysis of Images, Social Networks, and Texts intended for researchers and practitioners interested in data science. AIST is focused on innovative applications of data mining and machine learning techniques to image processing, analysis of social networks, text processing and other domains, such as economics or geographic information systems. Proceedings will be published in the Springer's in Lecture Notes in Computer Science (LNCS) series.
August 2020 (TBD)
ML Hackathon
Team challenge where groups of highly-motivated enthusiasts get a business problem together with a data set and solve relevant problems using the state-of-the-art in machine learning.
An expert committee chooses a winning team based on a set of criteria.
How to become a partner
Sponsoring packages are available, including premiere partners for the Hackaton
case study
It will be possible to showcase their business and problems and allow enthusiasts to solve them through an intensive hands-on project
become our expert or conduct a workshop (see the form below)
Conduct half-day or full-day workshop/tutorial, participate in poster session, present your research
Your Name
Your Organization
Social Media URL
Im interested to apply for a:
Anything else we should know?
organizers / contact
Alexander Kuleshov
Co-Chair, President, Skoltech
Evgeny Burnaev
Co-Chair, Associate Professor,
CDISE, Skoltech
Maxim Fedorov
Co-Chair, Director, CDISE, Skoltech
Rodrigo Rivera Castro
Researcher, CDISE, Skoltech
Ivan Khlebnikov
SMILES 2020 fundraising director
Skolkovo Institute of Science & Technology
Center for Computational and Data-Intensive Science and Engineering


Do not hesitate to drop by:
30с1 Bolshoi boulevard, Skolkovo, 121205, Russian Federation
For directions on how to reach us, please see here